{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "iris_data = pd.read_csv('iris-data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "0              5.1             3.5              1.4             0.2   \n",
       "1              4.9             3.0              1.4             0.2   \n",
       "2              4.7             3.2              1.3             0.2   \n",
       "3              4.6             3.1              1.5             0.2   \n",
       "4              5.0             3.6              1.4             0.2   \n",
       "\n",
       "         class  \n",
       "0  Iris-setosa  \n",
       "1  Iris-setosa  \n",
       "2  Iris-setosa  \n",
       "3  Iris-setosa  \n",
       "4  Iris-setosa  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "iris_data = pd.read_csv('iris-data.csv', na_values=['NA'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\memedunno\\Anaconda2\\lib\\site-packages\\numpy\\lib\\function_base.py:3834: RuntimeWarning: Invalid value encountered in percentile\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>145.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.644627</td>\n",
       "      <td>3.054667</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.236552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.312781</td>\n",
       "      <td>0.433123</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.755058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.055000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.700000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm\n",
       "count       150.000000      150.000000       150.000000      145.000000\n",
       "mean          5.644627        3.054667         3.758667        1.236552\n",
       "std           1.312781        0.433123         1.764420        0.755058\n",
       "min           0.055000        2.000000         1.000000        0.100000\n",
       "25%           5.100000        2.800000         1.600000             NaN\n",
       "50%           5.700000        3.000000         4.350000             NaN\n",
       "75%           6.400000        3.300000         5.100000             NaN\n",
       "max           7.900000        4.400000         6.900000        2.500000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# This line tells the notebook to show plots inside of the notebook\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x9093668>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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5rDc6YbL64fB0KPoYM61u4XkRXKYP6eQwDCY3ZCEASWIMNJ2pX6iuDciOATo7JMrWROYh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\nOGVl2OBoQhVfaWtnO4ZjScXAzKa1QWQyWQR9VlX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cpKG/rnbzGZVF6aq5mTbf4KnIkoeB9dqvwLFwxclalXBbYQ3+qU2edUW93fA+5Ne1ck7deWASoz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EdjuazNBy8jKTVHrfyHg1fwIKewWu3pqqL4eMywDJo+n2KlUFmYAYCfoxIRoCi5\nt8zuownIyinEzZQslYUZAPj+58u4fuuBcYMmIiKiOkOvK2eWLl2K8ePH45133lEpX7hwIRYtWoQt\nW7YYJDgiQ0i7X/J71YIKLm9MzdD8ZS2lgvK0zFw0bcTflhLpoqLxlHwvB208HLXaRulYVtv2Pc3b\n1jTmdWlPVxXFx2OGZdD0+TzIKdBQU3XfqWjuAEr2a48GdtUPjoiIiOo8va6cSUxMxLPPPqtW/txz\nzyEuLk7DK4jMp3GDki9FthWkDXRr5KCx3L2C8sYN+SWLSFcVjScPF83lmpSOZbVtV7ANTWNel/Z0\nVVF8PGZYBk2fj7OD5pv/lt13bK3lFc4fFe3XRERERLrSa3HG19cXx48fVyu/cOGCUe45Q1QdHo1K\nblAaHZeC8JCWKs8NDfVGS3dHDAlto1I+JLQNWro7YlR/H5XyUf194NHQ3ugxE9U2LdwdMDTUW6Vs\naKg3vNy0/3JbOpbLGtXfBy3cHNTKR/ZvD2cHm2q1p6uK4uMxwzJo+nys5DIMKbdfhoe0RHRcisr/\nN25QDyP7q2Z+HB3ug9bNnI0bNBEREdUZev2safDgwVi8eDESEhIQEhICa2trnD9/HuvXr8fIkSOx\na9cuqW7Z+8EQGVpp5o3UzFw4OtiiqKgYTg62cGtoh9TMfCmrRmgXT7Rp5oysnEL4t3dDRlYeXJzt\n0dLdEXbWcgwIbgFFSxekZOTCw8UBLd1LsjX1DfRAWx8lUnPuwa2+C7zqe8AKvLEn6U+bbD7mVCwE\n7qQ+xPkbGWhY3xbuDQ0Tn41cjieDveDTspHKOLORy1GoVCLhVjZSLtyFeyMHeLmpZ1UCKr7ZsJVM\nhtAAd7Rup0RqTjrcHFzRwskDMmEFLw8nqb2KtmsolcVH5mclkyG0iydaepbsE83c6kMpBJoUOWDa\n2K54mFsAp/p2cKxnDX8fF1g5ZiEzPxMhwU3gVd8FMmGFjq1dpM+2masD7GyskYN8c3eNiIiIagG9\nFmdKU1Nv2LABGzZsUHluzZo10v/LZDIuzpDRaMq8ER7SEhlZeWju5qiWFeb0PylRS+v9dDwRgQp3\nDAjxgq2VHO2bOqN900d/BVXKivH7nT+x/dI+qexfHQYi1LMH5MLKBD2k2sbSs/kYM75iIXDkrHr2\ns9AunjhwQvssTqU3G25W5udJRSjCoaQ/sC/+/6Sygd5PoX/LXvBu4gTvJk7Vil0XmuIjy1CoVEr7\nWgsPJ7XsfaVZmsK7NUd+g6vYfkr92F/2s7WSm3/MEhERUe2h1+IM7ytDlkBT5o2foxLxn2c744sd\nMSrlkUfiMSTUW1qc+TkqEUNCvRF5JB4d27hqvEFocn6KysIMAGy/tA++Lu3QxNbTwL2huqCibD4d\n27hYxA1jjRlfRdtu6emsMYtTReNSk5vZd1QWZgBgX/z/QdG4HVrXb16tuKn2KJsxLEDhrjFL05BQ\nb9wrTMH/xfLYT0RERKZlvOu7iYysoswo2mTfKPs4uYJML/fy7mksT8/L0DZEIhWVZfOxBMaMr8JM\nS5VkcdJWao7msZr6MF3rbVDtV3ZfqygDU0GREoXyhxqf47GfiIiIjEmvK2eILEFFmVG0yb5R9nFF\n2Vtc7F00lrvaN9I2RCIVlp7Nx5jxVZhpyQBZnNwcNI9Vt/quWm+Dar+y+1pF2ZdsreWQK+trfI7H\nfiIiIjImXjlDNZamzBvhIS1xMjZZY1aY0uwbpfWi41Iqzd7iYeeOf3UYqFL2rw4D4W7nbqAeUF1j\n6dl8jBlfRdtu5VG/2lmcvBw9MdD7KZWygd5Pwat+E/0DplqnbMYwTdn7SucFFxt3/MuXx34iIiIy\nLV45QzVSoVKJpJQcONW3wfQXgmAtl6FQqUTG/Tz4+7jB1lqO9i0aIe1+Ltwa1oOrsx3at2iEew9K\nsjTl5hfB38cN1nI5rt99iNy8Qjg62MLWWobcAiXS7+fCvZEDenh0g69LW6TnZsDBqgEKHtTH3fQC\neDSy5+AhnVl6Nh8rmQy9/TzRookTUjNz4N7IAS3dHWElk0ljLiWjpLyFuwOKlUBiSjZSM3Lg9k9d\ne2t5hRmpevl5ooWnk0p9Wys5+gd5oX2LRkjNfFQOAPF3s1Xas5Fr3ra1zBpPtOiJdo28kZZzD40d\nXNHCqQmsKxilullTF2QAACAASURBVGSksvTsWqRO0+erFAJJKTkIULhJ+1qbZs7w93FDemYeXBvY\nIy+/CF193WFtJcO9LAX+27UVsovuo6FtI3g5NoFQynE7I1faF5o15k2fiYiIyHD4/ZJqnEKlEj9F\nPcru0sLDCf4KN+w+kiDVGdyrDc5eSUVSchaCOnigqVt9ledLszqVL48IbYMzcanSjYOHhnrjyWAv\nnL8m1LLMhAfxRqOkO0vO5lNQrMSBk0nYVWZMDAltg/CgFjh4UjWj0uSR/ki4c19t/IQHtcAf59Sz\nMvXy88SBk0ka6x9Ua9MbTVzq4avIC1JZ6VjUlPGpj78njpxJweaD1/4pvYdR/eUas0zpkpHK0rNr\nkTpNn9nLgzvi3oN8PMwvhL2tFXYfSUBQBw+kZeZhz++q80LcjXtQtHJB3I17SErOQkRoGyTbCNxx\nuIfs3AL8cPCKVH90uA+GhbU1af+IiIio9uLPmqjGKZtxAyjJulH2Cx8A7Pk9AQGKkkvQg3w91J7/\nOSoRQb5N1Mp3H3n0OqAka0xiykONWWZu63DDUqKa4EbyQ5VFEgDYdSQBiSnZahmV5HKZxvGTlJKt\ncbwkpmRXWF+9zXjI5arp6iOPxONGsuaxeDM1R2N5cmaeWh8ryhpV3bpkGTR9Zmn387Dz8DV0au0q\n7YNBvh4qCzNAybwQoHCX/gVK9tFWng2Qdj9XZWEGAL7/+TKu33pgxN4QERFRXcLFGapxymd3qSzr\nBlBx9qYHOfmVvq5URVlj0vgFjWqZijInpWooT7+vef/XVFefck3jU9fMTpqyTOmSkcrSs2uROk2f\nWekxvew+W1VWv7LzQFpmToXzTEX7JBEREZGuuDhDNU757C6VZd0AKs7e5OxgV+nrSlWUNaaxhdzE\nlchQKsqc5Kah3LWB5v1fU119yjWNT10zO2nKMqVLRipLz65F6jR9ZqXH9LL7bFVZ/crOA40bOlQ4\nz1S0TxIRERHpioszVOOUzbgBlGTdiAhto1JncK82Unamk7HJas+XZHW6q1YeEdpGJavT0FBvtHSv\nrzHLTFMLvGcIUXW08qiPIeXGxJDQNmjp7qiWUUmpFBrHTwt3R43jpaW7Y4X11dv0hlJZrFI2NNQb\nrTw0j0UvNwets0zpkpHK0rNrkTpNn1njBvYY1qctLlxPl/bBk7HJGNxLfV4ozeJUOg9EhLbBjTv3\n0bhBPYzs316l/uhwH7Ru5mzE3hAREVFdwhsCU41jI5djQIgXOrR2QUpGLjxcHNDU1QG+LV2Qfj8P\nLg3sIQPg28oFSqWA3EqG3LwiTBvbFfez89HA0Q45eUVwqGcNuUwGRQsX5OUXwbG+DWyt5NJ2PFwc\n0LyxA9Lu56OFhyNmvRiMh7kFjzLsyHlDUKpdbK3kCA9qAZ8WLlK2phb/ZGAKD/JC+5aNpExLrdwd\n0a55Ayg01K0oI9WAoBYq9Vu6O8LOWo4BwS2gaOmC1Mzcf8rrQyYDZr0YJI1xL7eSbE0VbVvbLFil\ndTu1cUHmwwI0dLSFe4OSupoyM1lydi1SV/bzzcjOh72tNQoLi9G2eUNk5RQAkEn7YMsmTujQxgXp\nmSVZ/HLyihCocIe9rRzN3evDvZEDHOtZA5BJC3IdW7tI+0IzVwfY2VgjB5p/IktERCUKCgpw7tw5\nret37PgYbG01X+FIVJtxcYZqJBu5HN5NnODdxEkqa9/UGWjqLGXruHYrE56u9VVu+jg01Btd2rqW\nZHzZppqBpVPrRo++dJXZTvlMLR1bNeKXM6qVCpVKtaxMQ0O9ER7khZ81lA8I8YJPM2f4lLt6oKKM\nVHbWco31ba3k6NCiIRr5NUNGxkMU/XN/j/JjvLJt65IFy0omg5dbfXRu7y61V1lmJkvNrkWaWclk\naOrqgEuJGdj0U5xUXjbTVtumTvg1+jbuZefB3tYKq3c/ygw2JLQNBgS3gK2V+sXFZfcFLtATEWnn\nwoXz+PPnhWjT0rXKugmJ6QCmwd8/0PiBEVmYGvGzpoKCAsycORNBQUHo1asX1q1bV2HdS5cuYcSI\nEejSpQuGDx+OixcvmjBSsgSl2To0ZeOoLPtS+QwszNRCdU35TGjAP1mSNGRrijwSj5uptedmqBzv\ntcvt9ByVhRlA9fMs/bzLZnAqVZKh7KHJYiUiqgvatHRFRx/PKv/TZgGHqLaqEYszCxcuxKVLl7Bh\nwwbMnj0bn3/+OX7++We1erm5uZgwYQKCgoKwc+dOdOnSBa+++iry8nhyXZeUZuuoKBuHtpldmKmF\n6hpdsjUBFY+lmojjvXap6vMsfb6irGO1ad8mIiKimsHif9aUm5uL7du3Y+3atVAoFFAoFHj55Zex\nceNGhIeHq9T98ccfUa9ePbz77rsAgFmzZuHo0aP46aefMGTIEHOET2ZQmq2jomwc2mZ2YaYWqmt0\nydYEVDyWaiKO99qlqs+z9PmKso7Vpn2biEquwn/55RcqqSGDra0VCgqKAQisWfOdye95UlBQgJ07\nt2ldf9iw4bwvC1EtY/GLM3FxcSguLkaXLl2kssDAQHz99ddqdWNiYhAYqPr7xICAAJw5c4aLM3VI\nabaO0mwc5e85U5p9qfy9JcpnYCndTlX1iGqL0kxo5e8t0+qfbE3ly73cas8XWI732qWpqwPGDFCo\n3XOm9PMs/bxLMziV/WlTSYay+iaPmYiM5+LF84iKuQ4be8cq6xbmZePixfMmv+fJxYvnseP7w2jU\noEmVdTPu34WPj4L3ZSGqZSx+cSY1NRUNGzaEtfWjUF1dXZGfn4+MjAw0atRIKk9JSUH79qqpLl1d\nXXHt2jWTxUvmVzZzS36BEh1aP8q+VFXGl4q2w0wtVBc8yoTmitT7uXBvWE8aM+UzpJWW1xYc77WL\nlVyGoX280aFlI6Rm5qp9nqWf992MXCiV4p8MTiX7dkv3+hpvBkxENVvHPv9GwybtqqyXefeqCaLR\nzKdNMJppEeMtM8ZIRMZj8Yszubm5apfslT4uKFC9p0heXp7GuuXrUe1XmrlF0lS7bDIVbYeZWqiu\nsJHL4dPcGY8/5qmSOUlThrTahuO9drGzsYaXW314NtL8E6fy80T5LGJEREREpmTxizN2dnZqiyul\nj+vVq6dVXXt77S9Ll8tlkBsoPabVP395s7LQv8AxvuphfJbDlH00x/tq6jbZx9rRpqWPfWPGZ4r3\nmm1YThu1oQ/G3rYhWMrxUiaXAcXabUcmA6yt5TrHbmUlh7W1cftbvo/6xqjr6+RyWbX6pkt7pd+p\ndP1uVZ2+lb7eVCx93FLNYvGLMx4eHsjMzIRSqYT8n0vo09LSYG9vD2dnZ7W6qampKmVpaWlwc3PT\nuj0Xl/qQGfgydmdny76hJOOrHsZnfuboY11ok32sPW1aIlO8D2yjbrVRG/pgySzleGlnZw1omVDN\n2kqORo3q6xy7s3M9NGqk/72nCgoK8PHHH2tdf9asWXrHqOvrHB3tq9U3Z+d6uKVDW2X/1aWN0r5p\n21bZduryOKWazeIXZ3x9fWFtbY2zZ88iICAAAHDq1Cl06tRJra6fnx9Wr16tUhYdHY2JEydq3d69\new8NeuWMs3M9PHiQi+JipUG2aUiMr3rqYnzVmcyNyZSfgTk+d1O3yT7WjjZL27NUxnwfTPFesw3L\naaM29KFsG5bKUo6X+flFWm+nqFiJjIyHePAgV6f2HzzIRUbGQ51eU1Z09GlEf7sejbW4ej8tLw+/\n935C5zZKY9S1b9nZedXqmy7tZWfnqfyrSxv69q309abeV4kMweIXZ+zt7REREYHZs2fjk08+QXJy\nMtatW4cFCxYAKLkyxsnJCXZ2dnjyySexZMkSfPLJJ3juueewefNm5Obm4qmnntK6PaVSQKkUBu1D\ncbFSum+DJWJ81cP4zM8cfawLbbKPtadNS2SK94Ft1K02akMfLJmlHC+FDufpQgBFRUqdv6hXt6/F\nxUpEtGwN30YuVdaNzbin10JCaYy6vlapFNXumy5tlf1Xlzb07VvZ1xPVNDXiR3IzZsxAp06dMG7c\nOMydOxdvvfUW+vXrBwDo2bMn/u///g8A4OjoiK+++gqnTp3Cs88+i/Pnz2P16tU63XOGiIiIiIiI\niMiULP7KGaDk6pn58+dj/vz5as/FxcWpPH7sscewc+dOU4VGRERERERULYWFhUhJT9Kqbkp6EgoL\nH6tWewUFBbh48bzW9Tt2fEwtKy4RGVaNWJwhIiIiIiKqzRpeP4DGyQ5V1ivIyQHwTLXaunjxPP78\neSHatHStsm5CYjqAafD3D6xWm0RUOS7OEBERERERmZGNjQ16eDTR+j41NjY21W6zTUtXdPTxrPZ2\niMgwasQ9Z4iIiIiIiIiIaisuzhARERERERERmREXZ4iIiIiIiIiIzIiLM0REREREREREZsTFGSIi\nIiIiIiIiM2K2JiIiIiIiojqksLDwnxTZVUtITIdrm0IjR0REXJwhIiIiIiKqY05vi0WivX2V9dLy\n8hDU1wQBEdVxXJwhIiIiIiKqQ2xsbBDRsjV8G7lUWTc24x5sbGxMEBVR3cZ7zhARERERERERmREX\nZ4iIiIiIiIiIzIiLM0REREREREREZsTFGSIiIiIiIiIiM+LiDBERERERERGRGXFxhoiIiIiIiIjI\njLg4Q0RERERERERkRlycISIiIiIiIiIyoxqxOLN48WJ069YNISEhWLRoUaV1582bB4VCAV9fX+nf\nTZs2mShSIiIiIiIiIiLdWJs7gKp888032L9/P7744gsUFhZiypQpaNy4MV566SWN9RMSEjBlyhQM\nHTpUKnN0dDRVuEREREREVAsUFBTg5Zdf0Lr+mjXfwdbW1ogRmV9hYSESEtOrrJeQmA73doUmiIio\n9rD4xZkNGzbgrbfegr+/PwBgypQpWL58eYWLM/Hx8Xj55Zfh6upqyjCJiIiIiKgWuXjxPKJirsPG\nvuo/9BbmZePixfPw9w80QWTmdXpbLBLt7Sutk5aXh8f7mSggolrCohdnUlJScOfOHXTt2lUqCwwM\nxO3bt5GWlobGjRur1M/OzkZycjJatWpl4kiJiIiIiKi26djn32jYpF2V9TLvXjVBNOZnY2ODiJat\n4dvIpdJ6sRn3YGNjY6KoiGoHi77nTGpqKmQyGdzd3aWyxo0bQwiBu3fvqtVPSEiATCbDl19+idDQ\nUERERGDXrl2mDJmIiIiIiIiISCdmv3ImPz8fycnJGp/LyckBAJXfbpb+f0FBgVr9hIQEyOVyeHt7\nY+zYsThx4gTef/99ODo6ol8/7a6rk8tlkMtlunZDIysrucq/lobxVQ/jsxym7KM53ldTt8k+1o42\nLX3sGzM+U7zXbMNy2qgNfTD2tg3BUo6XMrkMKNZuOzIZYG0th5WVHFnpSVq9Jis9CVZWwdV+3fWs\nLK1edz0rC63/6aeur9GnLW+5TO8YdXldaVtAyfcrbe5TA5Tcq6ZZh0dt6fI6r04l7ZljXyUyBJkQ\nQpgzgBMnTuCFF16ATKa+IDJlyhQsXrwY586dkxZl8vPz4efnh8jISPj6+qq95sGDB3B2dpYez5s3\nD9evX8fatWuN1wkiIiIiIiIiIj2Z/cqZ4OBgxMXFaXwuJSUFixcvRlpaGpo2bQrg0U+d3NzcNL6m\n7MIMALRp0wZRUVGGDZqIiIiIiIiIyEAs+josd3d3eHp64vTp01LZqVOn4OnpqXYzYAD47LPP1LI4\nxcbGonXr1kaPlYiIiIiIiIhIH2a/cqYqI0eOxOLFi+Hh4QEhBJYsWYLx48dLz9+7dw/29vZwcHBA\n3759sWrVKqxbtw79+vXD77//jj179mDDhg1m7AERERERERERUcXMfs+ZqiiVSixatAg7d+6ElZUV\nhg8fjsmTJ0vPh4WFYdiwYZg0aRIA4Ndff8Xy5cuRmJiIZs2aYfLkyVrfDJiIiIiIiIiIyNQsfnGG\niIiIiIiIiKg2s+h7zhARERERERER1XZcnCEiIiIiIiIiMiMuzhARERERERERmREXZ4iIiIiIiIiI\nzIiLM0ZSUFCAmTNnIigoCL169cK6devMHZKK5ORkvPnmmwgJCUFoaCgWLFiAgoICc4elZsKECZgx\nY4a5w1BRUFCADz/8EMHBwejZsyeWLl1q7pBU3L17F6+99hoCAwPxxBNPYP369eYOySAKCgowaNAg\nnDx5ssI6EydOhEKhgK+vr/TvkSNHdG5Ll/Fx6dIljBgxAl26dMHw4cNx8eJFo7ZnqD4mJSVh/Pjx\n8Pf3R1hYGNauXVthXUP0UZf2DNXHUlUdRwzRP13bNFQff/nlF7XtvPXWWxrrGqOfujLV3KjN8UJf\nppg/dRkvhmCsuVaX/VNfxp6TIyMj1fqgUCjQoUMHg7ZjaXP34sWL0a1bN4SEhGDRokWV1p03b57a\ne7Rp06Yq29DleGCI45cu7Rl6HtLmmGTIY7SpzplMfb6ka5s19ZyJ6jBBRvHRRx+JiIgIERsbKw4e\nPCgCAgLEgQMHzB2WZMSIEWLChAni2rVr4tSpUyI8PFx8+umn5g5Lxb59+4SPj4+YPn26uUNR8f77\n74snn3xSnD9/Xhw/flw8/vjjYsuWLeYOSzJixAjx9ttvi8TERPHLL7+ILl26iIMHD5o7rGrJz88X\nr7/+ulAoFOLEiRMV1gsPDxf79u0TaWlp0n8FBQU6t6ft+MjJyRE9evQQn376qYiPjxfz5s0TPXr0\nELm5uUZpz1B9VCqV4sknnxRTp04ViYmJ4siRIyIwMFDs27fPKH3UpT1D9bFUVccRQ32GurQphOH6\n+OWXX4qJEyeK9PR0aTtZWVlq9YzRT32YYm7U9nihL2PPn7qOl+oy5lyr7f5ZHcaek/Pz81XG6Z07\nd0R4eLhYsGCBwdoQwrLm7rVr14q+ffuK6OhoERUVJXr16iW++eabCuu/9NJLYvXq1SrvU15eXpXt\naHs8MNTxS5fjjyHnIW2OSYY8RpvynMnU50u6tGmoPpr6nInqNi7OGEFOTo7o3LmzOHnypFT2xRdf\niLFjx5oxqkfi4+OFQqEQ6enpUtm+fftE7969zRiVqszMTBEaGiqGDx9uUYszmZmZomPHjiqf7apV\nq8TMmTPNGNUj9+/fFz4+PuLq1atS2RtvvCHmzp1rxqiq59q1ayIiIkJERERUeqKRn58vOnToIG7c\nuFGt9nQZH9u2bRP9+vVTKQsPDxeRkZFGac9QfUxJSRGTJ08WDx8+lMomTZokPvzwQ7W6huijLu0Z\nqo9CaHccMUT/dG3TkH2cMmWKWLJkSZX1DN1PfZhibtT2eKEvU8yfuoyX6jL2XKvt/qkvc8zJX331\nlQgPD9f7i7omljZ39+nTR+XYsHv3bhEWFlZh/d69e4tjx47p1IYuxwNDHL90ac+Qx2htj0mGOkab\n8pzJ1OdLurZZU8+ZqG7jz5qMIC4uDsXFxejSpYtUFhgYiJiYGDNG9YibmxvWrFkDFxcXqUwIgays\nLDNGpWrhwoWIiIiAt7e3uUNRcfr0aTg5OaFr165S2SuvvIKPP/7YjFE9Ym9vj3r16mHHjh0oKipC\nQkICoqOjDX75tSmdOHEC3bp1w5YtWyCEqLDe9evXIZPJ4OXlVa32dBkfMTExCAwMVCkLCAjAmTNn\njNKeIfu4ZMkSODg4ACjZr0+ePImQkBC1uobqo7btGaqPgHbHEUP0T9c2DdnH+Ph4tG7dusp6hu6n\nPkwxN2p7vNCXKeZPXcZLdRl7rtV2/9SXqefk+/fvY82aNZgyZQpsbGwMtl1LmrtTUlJw584dlfc0\nMDAQt2/fRlpamlr97OxsJCcno1WrVjq1o8vxwBDHL13aM+QxWttjkqGO0aY8ZzL1+ZKubdbUcyaq\n27g4YwSpqalo2LAhrK2tpTJXV1fk5+cjIyPDjJGVcHJyQo8ePaTHQghs3LgR3bt3N2NUjxw/fhyn\nT5/G66+/bu5Q1Ny8eRPNmjXDrl278NRTT6Ffv3744osvjPIlQB+2trb44IMP8MMPP8DPzw9PP/00\nevfujWHDhpk7NL2NGjUK06ZNg52dXaX14uPj4ejoiHfffRc9e/bE8OHDcfToUZ3b02V8pKSkwN3d\nXaXM1dUVycnJRmnPUH0sKywsDM8//zz8/f0RHh6u9rwh+qhLe4bqo7bHEUP2T9s2Dfk5Xr9+Hb//\n/juefPJJ9O/fH//73/9QWFioVs/Qn6M+TDE3anu80Jep58+qxkt1mGKu1Xb/1Jep5+Tvv/8eHh4e\n6N+/v0G3a0lzd2pqKmQymcrxonHjxhBC4O7du2r1ExISIJPJ8OWXXyI0NBQRERHYtWuXVu1oezww\nxPFLl/YMeYzW9phkqGO0Kc+ZTH2+pGubteGcieoeLs4YQW5uLmxtbVXKSh9b4k13P/30U8TFxWHy\n5MnmDgUFBQWYM2cOZs+erfYeWoKcnBzcuHEDW7duxYIFCzB9+nRs2LDB7DfuKys+Ph5hYWHYtm0b\nFixYgAMHDmDfvn3mDsvoEhISkJ+fj169emHt2rUIDQ3FxIkTq30jtsrGR15ensaxXp1xXll7xujj\nihUr8NVXXyE2NlbjX5sN3ceq2jNEH3U5jhiqf7q0aajP8fbt28jLy4OdnR2WL1+OadOmYe/evRpv\n3mmMfVVXNW1u1Iax58+qxou+TDHX6rJ/6svUc/L27dsxduxYo2zblHN3fn4+kpKSNP6Xk5MDACr7\nRWXjNCEhAXK5HN7e3li9ejWGDx+O999/H7/88kulMehyPDDE8UuX9ox1PlEZUx+jjdFHU58vVdVm\nbThnorrHuuoqpCs7Ozu1QVj6uF69euYIqUKLFi3Chg0bsGzZMov4CdGKFSvQqVMni7mKpzwrKys8\nfPgQS5YsQZMmTQAAt27dwubNm/Hiiy+aNziU/CV0+/btOHr0KGxtbdGhQwfcvXsXX375JQYOHGju\n8Ixq0qRJGDduHJycnAAAPj4+uHDhArZs2YKPPvpIr21WNT4qGuv29vZGac8YfezYsSMAYMaMGXj3\n3Xcxffp0lb8sGrqPVbVniD7qchwxVP90adNQn2PTpk0RFRUFZ2dnAIBCoYBSqcTUqVMxY8YMyGQy\nqa6hP0d91KS5URummD+rGi/6MsVcq8v+qS9TzskxMTFITk7G008/bdDtAqafu8+dO4cXXnhB42cw\nZcoUACVjs/zihaZxOmTIEISFhUmfc/v27XHjxg1s3rwZ/fr1qzAGXY4Hhjh+6dKeMeZafeMz1jHa\n0H009fmSNm3WhnMmqnu4OGMEHh4eyMzMhFKphFxecnFSWloa7O3tpcnLEsydOxdbtmzBokWLKp1A\nTWn//v1IT0+Hv78/AEiXPx84cADR0dHmDA0A4O7uDjs7O+kkEABat26t8VJfc7h48SJatWqlsmrv\n6+uLr7/+2oxRmU7pBFzK29sb8fHxem1Lm/Hh4eGB1NRUlbK0tDS4ubkZpT3AMH1MT0/HmTNnVNpp\n27YtCgsLkZ2djYYNG0rlhuijLu0B1e+jLscRQ32Guh67DLWvlp9TvL29kZ+fj8zMTDRq1EgqN+S+\nqq+aMjdqw5jzp67jRR+mmmu13T/1Zco5+Y8//kBQUJDa2DUEU8/dwcHBiIuL0/hcSkoKFi9ejLS0\nNDRt2hTAo586VXS8KP85t2nTBlFRUZXGoMvxwBDHL12PP4Y8n9A2PlMfow3VR1OfL2nbJlAzz5mo\nbuPPmozA19cX1tbWOHv2rFR26tQpdOrUyYxRqfr888+xZcsWLF26FE899ZS5w5Fs3LgRe/fuxZ49\ne7Bnzx6EhYUhLCwMu3fvNndoAAA/Pz/k5+cjMTFRKouPj0ezZs3MGNUj7u7uSExMRFFRkVSWkJCA\n5s2bmzEq05gxYwZmzpypUhYXF6fXzSi1HR9+fn5qN3mLjo5WueGgIdszVB///vtvvPHGG0hJSZHK\nzp8/DxcXF7Uvfobooy7tGaKPuhxHDPUZ6tKmoT7HP/74AyEhIcjPz5fKLl26hIYNG6p98TVUP6uj\nJsyN2jD2/KnLeNGXKeZaXfZPfZlyTo6JiUFAQIDBtwtY1tzt7u4OT09PnD59Wio7deoUPD090bhx\nY7X6n332GV566SWVstjY2CqPZ7ocDwxx/NKlPUOeT2jL1MdoQ/XR1OdLurRZU8+ZqI4zcXaoOuOD\nDz4QAwcOFDExMeLgwYMiMDBQHDx40NxhCSFK0ux16NBBLF++XKSmpqr8Z2mmT59uUam0hRDi1Vdf\nFSNHjhSxsbHi6NGjolu3bmLjxo3mDksIIURWVpbo2bOnmDZtmrh+/bo4dOiQCAkJEVu3bjV3aAbh\n4+OjkhYyNTVV5OXlCSGE+Pnnn0WnTp1EZGSkSExMFCtWrBBdunQRt27d0qmNqsZH2TazsrJE9+7d\nxccffyyuXbsm5s6dK3r27Clyc3ON0p6h+lhcXCz+9a9/ifHjx4tr166Jw4cPix49eogNGzYYpY+6\ntGeoPpZV/jhi6P7p2qah+pidnS1CQ0PFO++8IxISEsThw4dFr169xNq1a03WT12Zcm4sf7wwBFPM\nn1WNF2Mwxlxb1f5pKKaak/v27St+/PFHg29XCMubu7/++mvRu3dvERUVJf766y/Rq1cv8e2330rP\np6enS2mFY2JiRMeOHcU333wjkpKSxKZNm0Tnzp3FuXPnqmynsuOBMY5f2rZnjHlIiMrPYYxxjDb2\nOZOpz5d0bbOmnjNR3cbFGSPJzc0V06dPF/7+/qJ3797iu+++M3dIkq+//looFAqV/3x8fIRCoTB3\naGoscXEmKytLTJs2TQQEBIgePXqIL774wtwhqbh27Zr497//Lbp27SrCw8Mtat+rLoVCoXKi4ePj\nIyIjI6XH27ZtE+Hh4aJz585i2LBh4tSpUzq3UdX4KN9mTEyMGDp0qPDz8xMjRowQsbGxRm3PEH0U\nQoiUlBTxxhtviK5du4pevXqJr7/+WnrO0H3UtT1D9bFU+eOIMfqna5uG6mPpeA8ICBC9evUSK1eu\nrLBNY/RTh59FKwAAF5tJREFUV6acG8sfLwzBVPNnZePFGIw111a2fxqKqeZkPz8/8ccffxhl20JY\n1txdXFwsFixYIIKDg0W3bt3EkiVLVJ7v27evWLFihfT40KFDYvDgwcLPz088/fTTWi+4VnY8MMbx\nS5f2DD0PCVH1OYyhj9HGPmcy9fmSPm3W1HMmqrtkQlhIDmAiIiIiIiIiojqI95whIiIiIiIiIjIj\nLs4QEREREREREZkRF2eIiIiIiIiIiMyIizNERERERERERGbExRkiIiIiIiIiIjPi4gwRERERERER\nkRlxcYaIiIiIiIiIyIy4OENEREREREREZEZcnCEiIiIiIiIiMiMuzlC1jB07FjNmzDBafUPIzc3F\npk2bpMczZszACy+8YNIYiCyRMcdjVdveuXMnFAqF9DgzMxPbt283SWxE5nLnzh3s379f6/rlx4mh\n6xvK4cOHER8fDwA4ceIEFAoFbt++bfI4iIzJ2ONXF5GRkfD19a20jkKhwK5du6THu3btwr1794we\nGxHpj4szVOutXbsW33zzjbnDIKpTVq5ciVmzZlX4vEwmg0wmkx4vXLgQe/bsMUVoRGYzbdo0/P77\n71rXLz9ODF3fEG7fvo3XXntN+tJXGgdRbWPs8auLZ555Bn/88YfW9U+ePInp06cjLy/P6LERkf6s\nzR0AkbEJIcwdAlGd4+zsbO4QiCxObZyPlEqluUMgMglLGr+2trZwdXXVur5SqeRiDFENwCtnargj\nR47g2WefRZcuXdC9e3fMmDEDDx48AADEx8djwoQJ8Pf3R8+ePTFlyhSkpaVJrx07diw++eQTvPPO\nO+jSpQtCQ0OxatUqle3/8ssvGDFiBPz9/dG5c2cMGzZMp5X6qmgT4//+9z/MmjULQUFBCAwMxJQp\nU5CTkyPVuXDhAp5//nl06dIF/fv3x969e9GxY0ecPHkSn3/+OVauXIlbt27B19dXusy6qKgIn376\nKbp16wZ/f3+8/vrrKn/108aePXsQEREBPz8/9O/fH9999530nEKhwNatWzFmzBh07twZTz/9NM6c\nOYMtW7agb9++CAwMxOTJk1FQUFDNd5Bqspo0fhcuXIjBgwdLjx88eABfX1/MmzdPKvv111/h7++P\ngoICtZ8lHTx4EIMGDULnzp3x/PPP49atW9JzM2bMQGRkJE6cOKFymfbDhw8xc+ZMBAUFoWvXrpgx\nY4b0Vz9trV+/HgMGDICfnx8GDRqEH3/8EQBw69YtKBQK7N+/H0OHDkXnzp3x7LPPIiEhAStXrkSP\nHj0QEhKCjz76SOf3imonhUKBTZs24bnnnkPnzp0xaNAg/Prrryp1fvvtNwwbNgx+fn4IDw/H8uXL\nUVhYCKBkzJ48eRKRkZF44oknAJRcdTJ58mR0794dnTp1QmhoKBYvXmywmAsLC7Fo0SL07t0b/v7+\nGDlyJI4dOyY9HxkZifDwcOnfxx57DMOGDUN0dLRUJy8vD7Nnz8bjjz+Orl274r333sOUKVMwY8YM\n3Lp1C/369YNMJsMLL7yAzz//HEDJl9jffvsNgwYNwmOPPYaBAwfiyJEjOsWelJSEiRMnomvXrggJ\nCcE777wjzdMzZszAtGnTMG/ePAQFBSEkJAQrVqxAfHw8xowZAz8/PwwePBgxMTEGeBepNrD08Xvl\nyhUoFArExsZKZa+//jq6du0qLQoJIdCtWzfs3bsXkZGRKj9LSk5OxsSJExEQEIA+ffpg37590nMn\nTpzAuHHjIITAE088ofJTp8jISPTv31+aA3UdMzExMXjppZekc5U5c+YgPz8fQMl79umnn+Ldd9+V\nnv/hhx8QHR2NIUOGoEuXLhg5ciSSkpL0es+IaiMuztRgGRkZeOONNzB8+HD89NNPWLlyJU6dOoVF\nixYhJSUFY8aMQevWrREZGYlVq1YhOzsbzz33nMqXm82bN6NBgwaIjIzE5MmT8cUXX2DNmjUAgIsX\nL+LNN9/EoEGDsG/fPmzduhWurq6YNm0aioqKqh1/cnKyVjGuX78ebm5u2LFjBxYvXoxDhw7h22+/\nBQCkpKTgxRdfhJeXF3bs2IEPPvgAS5culf6SN378eLz00kvw9PTEsWPH0KRJEwBAdHQ0srKysHnz\nZqxatQpnz57Fp59+qnXs+/fvx/Tp0zF06FDs3bsXkydPxuLFi1UmvGXLlmHChAnYs2cPnJyc8Npr\nr+Hnn3/G6tWrsWDBAvzyyy/Ytm1btd9Hqplq2vjt27cvrl69ivT0dADA8ePHAQBRUVFSnSNHjqB3\n796wtbVVeW10dDTefPNNPPXUU9i7dy+GDBmC1atXS8/PmjULTz31FPz9/VW+OB48eBAeHh7YuXMn\nFi1ahP3796u8riqrV6+WxuG+ffvw3HPPYdq0aThx4oRUZ9myZZg1axa2b9+OBw8eYNSoUUhKSsLG\njRsxefJkfP/99zh8+LBO7xXVXkuWLMGQIUOwZ88e9OnTB5MmTcLZs2cBAEePHsXkyZMxatQo/Pjj\nj5gzZw5++uknTJ06FQDw+eefo0uXLnj66aexY8cOAMB//vMfPHz4EN9++y1++uknjB8/HmvWrMGh\nQ4cMEu/06dNx/PhxLFmyBLt378aAAQPw2muvqSyU3L59G1u2bJHmMAcHB5WF1alTp+L48eNYtmwZ\nfvjhB2RlZUmLnE2bNsW2bdsghMCKFSswfvx46XUbN27E7NmzsW/fPrRq1Qr//e9/kZubq1XcWVlZ\nGDNmDIqKirBhwwasX78eSUlJ+O9//yvV+fHHH2FjY4OdO3fipZdewsqVK/Gf//wHr7zyCrZv3w47\nOzt8+OGH1X0LqRax5PHbvn17NGvWTJoDlUolTpw4gZycHFy8eBEAcO7cOWRlZaFPnz4AHv18sLi4\nGOPHj8f9+/fx/fffY/ny5Vi7dq30fEBAAFasWAGZTIbt27fj6aefBlCy2LN161YsXboUO3fuhK2t\nrcoYq8rff/+NcePGoUmTJti+fTtWrFiBY8eOYc6cOVKdDRs2oGPHjti7dy/69euHefPm4cMPP8R7\n772HTZs2ITU11aAL0kQ1nqAaKzY2VigUCnH48GGp7Nq1ayIuLk4sW7ZMDBkyRKV+Tk6O8PPzE5GR\nkUIIIZ5//nkxePBglTqLFy8WvXr1kra/efNmleePHDkiFAqFuHv3rrSN6dOnax1z2fpLly7VKsah\nQ4eq1Hn99dfF+PHjhRBCLF++XPTt21cUFRVJzx86dEgoFApx4sQJIYQQK1asEGFhYdLz06dPl/pY\nat68eeKZZ57Ruh/PPfecmDJlikrZ1q1bxf79+4UQQvj4+Ij//e9/0nMbN24UCoVCJCUlSWXDhw8X\nH3zwgdZtUu1S08ZvUVGRCA4OFrt37xZCCPH++++LSZMmCYVCIdLT04UQQvTp00d6vuy2J0+eLMaM\nGaOyvY8//lgoFArp8fTp08XYsWOlx88//7wYMWKEymsmTpwoJkyYoFW8QgjRs2dPsXTpUpWyNWvW\niGPHjom///5b+Pj4iB9++EF6buHChaJTp04iPz9fKuvevbv4+uuvtW6Tai8fHx8xb948lbIRI0aI\nt99+WwghxOjRo8Unn3yi8vxff/0lfHx8xK1bt4QQquMiLy9PrFu3ThqPpXr06CG++OILIYQQO3fu\nVBknVSlb/8aNG8LHx0fExsaq1Jk2bZo01krrx8XFSc//8ssvQqFQiNTUVJGUlCR8fHzEsWPHpOfz\n8/NFz549pX6UjqXSOTcqKkr4+PiI33//XXrNpUuXhEKhEDExMVr1Y/PmzcLf319kZWVJZZcvXxZL\nliwRBQUFYvr06aJnz57Sczk5OcLHx0csW7ZMKvv+++/FY489plV7VPvVhPE7d+5c8eKLLwohhDhz\n5ozo1q2bGDVqlFizZo0QQohly5aJcePGqW376NGjQqFQiJs3b0rbio2NFT4+PtI5Q1RUlFAoFFJf\nSl+fkJAgvebgwYMqc3pVFi9eLPr27SuKi4ulsqioKPHVV18JIdTn8atXrwofHx+xbds2qWzRokVi\nwIAB2r1BRHUA7zlTgykUCjzzzDN49dVX4ebmhh49eqBPnz7o378/Ll26hKtXr8Lf31/lNQUFBUhI\nSJAeBwcHqzzv7++PNWvWIDMzEwqFAg0aNMDq1auRkJCAxMRE6XLL4uLiascfGxurVYytW7dWed7J\nyQlZWVkAgEuXLqFTp06wsrKSng8KCqryd8EtWrRQedygQQOdfi5x+fJlDBw4UKVs+PDhKo+9vLyk\n/3dwcFArs7Oz48+a6rCaNn6trKzQq1cv/Pnnnxg8eDD+/PNPzJ49G2fPnsVff/0Fb29vpKamSn/R\nK+vq1avo2bOnWqwbNmyotM1WrVqpPG7QoIHWGWAyMjKQmpoKPz8/lfLSv+yX/qyq7LHAwcEBbm5u\nKlf+cJxSWSEhISqPy17tdenSJZw/fx5bt25VqSOXyxEfH4+mTZuqlNvZ2WH06NE4cOAAzp07h6Sk\nJFy+fBnp6ekGm2MBYPTo0SpzYnFxsdo9odq0aSP9v5OTE4CSn0TFxsZCJpOpjCNbW1t07ty50rZl\nMhlatmwpPXZ2doYQQvq5Q1WuXr2KVq1awdHRUSpr37492rdvLz0uO5/Wq1dPrcze3l76SQoRYPnj\nNywsDNu2bUNBQQGOHTuGbt26oVmzZvjrr78wfvx4HDlyBEOHDlV73dWrV+Hs7IzmzZtLZQqFAvb2\n9lW2WXaeLT0u6DJOO3XqBLn80Q8xgoODVc5Nys6xFY1TzrFEj3BxpoZbvHgxJk2ahKNHj+LPP//E\n1KlTERAQABsbG4SEhKhcWliq9MQLAKytVXeB0p8DWVlZ4cSJE3j55ZfRp08fBAYGYvDgwcjJycGk\nSZMMErtSqdQqxvI/kQAe3ZTN2tpar5sRlp1Iym9TGzY2NgapQ3VbTRu/YWFhmD9/Pm7evInk5GTp\nXg9//fUX/v77bwQEBFR4I+Dy41Sb8VGdcart+Cv/HvKGiVSZ8vtLcXGx9McBpVKJl19+WeOXJzc3\nN7Wy3NxcjBkzBgUFBRgwYAC6du2Kzp07Y/To0QaJtfQGoN9//z3q16+v8lz5saVpvAghpL7pMj+W\nKvtHk7Lb1Eb591nbOpqOGUSlLH38BgcHw9bWFlFRUTh+/DgiIiLQrFkzbNy4Ebdv30ZsbKx0X6ey\nZDKZxrGlzTjSNOdxnBKZD0dHDRYTE4P58+ejVatWeOGFF/DVV1/h448/xl9//QU3NzckJCSgSZMm\n8PLygpeXF5ydnfHxxx/jypUr0jYuXLigss3Tp0+jefPmcHJywrp16/D444/js88+w7hx49CtWzfp\nr9b6nKiV165dO61irIxCocClS5dU/koRHR1t9C9Y3t7eOH/+vErZ/Pnz8dZbbxm1Xao9auL47d27\nNzIyMvDdd9+hS5cusLe3R/fu3REVFYXffvtNuklieb6+vjhz5oxKWfnxY2iOjo5wd3dXa+fNN9/E\nwoULjdo21V7l96czZ86gY8eOAErmtOvXr0tj1svLC7dv38bChQvx8OFDAKpfhP744w/Exsbiu+++\nw6RJkzBgwAA4ODio3Pi7Otq3bw8hBFJSUlRi2r59O3bu3KnVNnx8fABAui8HUHJFTek9MMr3yVDa\ntm2LGzduIDs7Wyq7ePEiunfvjuTkZIO3R3WDpY9fa2tr9OzZE4cOHUJMTAy6d++OwMBAFBUVYcWK\nFfDx8VG7ggcoORfOyspCfHy8VFZ+/BhjnHp7e+PixYsq5xQHDx5EWFgYr4Yh0hMXZ2qw+vXrY9Om\nTVi8eDGSkpJw5coV7N+/H61bt8bEiRPx4MEDvPPOO4iLi0NcXBz++9//4sKFC2jXrp20jVOnTuHz\nzz9HYmIitm/fjs2bN+OVV14BAHh6euLy5cs4ffo0bt26hR07duCzzz4DAIMcdEePHo2srCxMmTKl\n0hir2saDBw/w3nvvIT4+Hn/++aeUPaZ0Iqpfvz4ePHiAGzduGORGxgAwYcIE/Pjjj9i4cSNu3ryJ\nvXv3YsuWLejXr59Btk+1X00cv46OjggKCsKWLVvw+OOPAwC6deuGxMRExMTEVLg48+9//xuxsbFY\nuHAhbty4gT179mDTpk1q70dKSgr+/vtvvWLTZMKECVi/fj327NmDmzdv4rvvvsOvv/5aYZxEVVm/\nfj327duHGzduYOHChbh8+TJefPFFAMArr7yCAwcOYOXKlbhx4waOHz+OGTNm4OHDh1LKWwcHB9y6\ndQvJycnw8PAAAOzevRu3b9/GqVOn8Prrr6O4uNggc2zbtm3Rp08fzJkzB7/99htu3ryJ1atXY/Xq\n1Wo/7S2v9MtW8+bN8dRTT2Hu3Lk4fvw4rl27hpkzZyI5OVmaY0t/tnvlyhXpy2B1/4AzaNAgNGzY\nEFOnTsXly5dx4cIFzJkzBwqFQnrfiHRVE8Zv3759sXPnTri7u6NZs2aws7ODv78/du/eXeHc9fjj\nj6Nz58549913ce7cOZw/fx7Tpk1TuXrNwcEBQgjExsaqZDwtT5exO2bMGGRmZmL27NmIj4/HyZMn\nsWjRIvTo0UPjVe9EVDUuztRg3t7eWLlyJaKiojBkyBCMGTMG1tbWWLVqFby8vLBp0ybk5ORg9OjR\neOGFF2BnZ4f169ejUaNG0jaeeOIJxMfHY/DgwVi1ahVmzpyJESNGACj5C7Ofnx8mTpyIoUOHYvv2\n7Zg/fz7s7e0N8lfv5s2bY+PGjXj48GGlMVbGxcUFa9asQXx8PIYOHYo5c+ZIl5SWXqYdHh6Oxo0b\nIyIiApcuXap23EDJ5Dl37lx8//33eOaZZ7By5UrMnDkTgwYNAsCfRlDVaur47du3LwoLC6XFGU9P\nT7Rq1Qpt27ZV+b17WQqFAqtXr8aJEycQERGB9evXY+LEiSp1hgwZgtzcXAwaNAipqal6x1fW888/\nj//85z/47LPPMHDgQOzYsQPLli1D165dAWg3TjmWqayRI0fi22+/RUREBKKjo7Fu3TppwfTJJ5/E\n0qVLcejQIQwePBhTp05F7969sWLFCun1o0aNwpUrVzB48GA89thjmDZtGjZs2ICnn34as2bNQnBw\nMJ555hmDXVm2fPlyhIeHY/bs2Rg4cCD27NmDTz75BBEREZW+rux+/9FHHyEgIABvvfUWRo0aBScn\nJ/j5+UlzbMOGDfHss8/i008/xfLly9Ver2mbVbG3t8eaNWtQVFSEkSNHYsKECWjXrh2WLl2qVcxE\nmtSE8RsaGgqlUolu3bpJZd27d5fSYGsik8mwatUqtGnTBuPHj8fEiRMxcOBAlfOF9u3bIzQ0FJMn\nT1a7r075bWnL3d0d33zzDRISEjBs2DC88847eOKJJ/D+++8bZPtEdZFMGOL3KVQjjR07Fs2bN8f8\n+fPNHYre4uPjcf/+fQQEBEhl0dHRGDNmDA4fPsy/sFGtVRvGL1FNolAosGDBAgwZMsTcoZhMQUEB\njh49iu7du0tXyADAgAEDEBERobbISmSp6uL4JaKahzcEJoPIzc2VfpNbEScnJ9jZ2Rm03bt37+LV\nV1/FvHnzEBwcjOTkZCxYsADBwcF6LcwUFBTgwYMHldZxcHBQOUklqunMNX71VdPiJaouIQTS09Mr\nrWNjY4MGDRoYtF1bW1t89NFHCA4OxsSJE2FlZYXt27fjzp07GDBggF7bTE9Pr/SnE3K5HC4uLvqG\nTGRxzDV+9VXT4iWqTbg4Qwbx7bffYvny5ZVerjhnzhw899xzBm23R48eeO+997B69WrMnj0bTk5O\nCAsLw5QpU/Ta3k8//YSpU6dW2o9XXnkFb7/9tr4hE1kcc41ffdW0eKl2MOfl+CkpKQgNDa00Bj8/\nP/zwww8Gb3vVqlVYtGgRRo0ahaKiInTs2BHffPMNWrdurdf2evfuXWmWRVdXV/zxxx/6hkukUV0d\nv/qoafES1Sb8WRMRERERERERkRnxhsBERERERERERGbExRkiIiIiIiIiIjPi4gwRERERERERkRlx\ncYaIiIiIiIiIyIy4OENEREREREREZEZcnCEiIiIiIiIiMiMuzhARERERERERmREXZ4iIiIiIiIiI\nzIiLM0REREREREREZvT/bUooZ+glGTMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x90934e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.pairplot(iris_data.dropna(), hue='class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setossa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "0                5.1             3.5              1.4             0.2   \n",
       "1                4.9             3.0              1.4             0.2   \n",
       "2                4.7             3.2              1.3             0.2   \n",
       "3                4.6             3.1              1.5             0.2   \n",
       "4                5.0             3.6              1.4             0.2   \n",
       "5                5.4             3.9              1.7             0.4   \n",
       "6                4.6             3.4              1.4             0.3   \n",
       "7                5.0             3.4              1.5             NaN   \n",
       "8                4.4             2.9              1.4             NaN   \n",
       "9                4.9             3.1              1.5             NaN   \n",
       "10               5.4             3.7              1.5             NaN   \n",
       "11               4.8             3.4              1.6             NaN   \n",
       "12               4.8             3.0              1.4             0.1   \n",
       "13               5.7             3.0              1.1             0.1   \n",
       "14               5.8             4.0              1.2             0.2   \n",
       "15               5.7             4.4              1.5             0.4   \n",
       "16               5.4             3.9              1.3             0.4   \n",
       "17               5.1             3.5              1.4             0.3   \n",
       "18               5.7             3.8              1.7             0.3   \n",
       "19               5.1             3.8              1.5             0.3   \n",
       "20               5.4             3.4              1.7             0.2   \n",
       "21               5.1             3.7              1.5             0.4   \n",
       "22               4.6             3.6              1.0             0.2   \n",
       "23               5.1             3.3              1.7             0.5   \n",
       "24               4.8             3.4              1.9             0.2   \n",
       "25               5.0             3.0              1.6             0.2   \n",
       "26               5.0             3.4              1.6             0.4   \n",
       "27               5.2             3.5              1.5             0.2   \n",
       "28               5.2             3.4              1.4             0.2   \n",
       "29               4.7             3.2              1.6             0.2   \n",
       "..               ...             ...              ...             ...   \n",
       "120              6.9             3.2              5.7             2.3   \n",
       "121              5.6             2.8              4.9             2.0   \n",
       "122              5.6             2.8              6.7             2.0   \n",
       "123              6.3             2.7              4.9             1.8   \n",
       "124              6.7             3.3              5.7             2.1   \n",
       "125              7.2             3.2              6.0             1.8   \n",
       "126              6.2             2.8              4.8             1.8   \n",
       "127              6.1             3.0              4.9             1.8   \n",
       "128              6.4             2.8              5.6             2.1   \n",
       "129              7.2             3.0              5.8             1.6   \n",
       "130              7.4             2.8              6.1             1.9   \n",
       "131              7.9             3.8              6.4             2.0   \n",
       "132              6.4             2.8              5.6             2.2   \n",
       "133              6.3             2.8              5.1             1.5   \n",
       "134              6.1             2.6              5.6             1.4   \n",
       "135              7.7             3.0              6.1             2.3   \n",
       "136              6.3             3.4              5.6             2.4   \n",
       "137              6.4             3.1              5.5             1.8   \n",
       "138              6.0             3.0              4.8             1.8   \n",
       "139              6.9             3.1              5.4             2.1   \n",
       "140              6.7             3.1              5.6             2.4   \n",
       "141              6.9             3.1              5.1             2.3   \n",
       "142              5.8             2.7              5.1             1.9   \n",
       "143              6.8             3.2              5.9             2.3   \n",
       "144              6.7             3.3              5.7             2.5   \n",
       "145              6.7             3.0              5.2             2.3   \n",
       "146              6.3             2.5              5.0             2.3   \n",
       "147              6.5             3.0              5.2             2.0   \n",
       "148              6.2             3.4              5.4             2.3   \n",
       "149              5.9             3.0              5.1             1.8   \n",
       "\n",
       "              class  \n",
       "0       Iris-setosa  \n",
       "1       Iris-setosa  \n",
       "2       Iris-setosa  \n",
       "3       Iris-setosa  \n",
       "4       Iris-setosa  \n",
       "5       Iris-setosa  \n",
       "6       Iris-setosa  \n",
       "7       Iris-setosa  \n",
       "8       Iris-setosa  \n",
       "9       Iris-setosa  \n",
       "10      Iris-setosa  \n",
       "11      Iris-setosa  \n",
       "12      Iris-setosa  \n",
       "13      Iris-setosa  \n",
       "14      Iris-setosa  \n",
       "15      Iris-setosa  \n",
       "16      Iris-setosa  \n",
       "17      Iris-setosa  \n",
       "18     Iris-setossa  \n",
       "19      Iris-setosa  \n",
       "20      Iris-setosa  \n",
       "21      Iris-setosa  \n",
       "22      Iris-setosa  \n",
       "23      Iris-setosa  \n",
       "24      Iris-setosa  \n",
       "25      Iris-setosa  \n",
       "26      Iris-setosa  \n",
       "27      Iris-setosa  \n",
       "28      Iris-setosa  \n",
       "29      Iris-setosa  \n",
       "..              ...  \n",
       "120  Iris-virginica  \n",
       "121  Iris-virginica  \n",
       "122  Iris-virginica  \n",
       "123  Iris-virginica  \n",
       "124  Iris-virginica  \n",
       "125  Iris-virginica  \n",
       "126  Iris-virginica  \n",
       "127  Iris-virginica  \n",
       "128  Iris-virginica  \n",
       "129  Iris-virginica  \n",
       "130  Iris-virginica  \n",
       "131  Iris-virginica  \n",
       "132  Iris-virginica  \n",
       "133  Iris-virginica  \n",
       "134  Iris-virginica  \n",
       "135  Iris-virginica  \n",
       "136  Iris-virginica  \n",
       "137  Iris-virginica  \n",
       "138  Iris-virginica  \n",
       "139  Iris-virginica  \n",
       "140  Iris-virginica  \n",
       "141  Iris-virginica  \n",
       "142  Iris-virginica  \n",
       "143  Iris-virginica  \n",
       "144  Iris-virginica  \n",
       "145  Iris-virginica  \n",
       "146  Iris-virginica  \n",
       "147  Iris-virginica  \n",
       "148  Iris-virginica  \n",
       "149  Iris-virginica  \n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "iris_data.loc[iris_data['class'] == 'versicolor', 'class'] = 'Iris-versicolor'\n",
    "iris_data.loc[iris_data['class'] == 'Iris-setossa', 'class'] = 'Iris-setosa'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Iris-setosa', 'Iris-versicolor', 'Iris-virginica'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data['class'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xee90a20>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5xqZcsUdoFdU9+ka3wwcUe4yktm1aW+wRgDyU6nlQiioqyqOmpsrOMrK37Jp3VkiZYvOJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xee547f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iris_data = iris_data.loc[(iris_data['class'] != 'Iris-setosa') | (iris_data['sepal_width_cm'] >= 2.5)]\n",
    "iris_data.loc[iris_data['class'] == 'Iris-setosa', 'sepal_width_cm'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>0.067</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>Iris-versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>0.060</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Iris-versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>0.057</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Iris-versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0.055</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>Iris-versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>0.055</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Iris-versicolor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "77            0.067             3.0              5.0             1.7   \n",
       "78            0.060             2.9              4.5             1.5   \n",
       "79            0.057             2.6              3.5             1.0   \n",
       "80            0.055             2.4              3.8             1.1   \n",
       "81            0.055             2.4              3.7             1.0   \n",
       "\n",
       "              class  \n",
       "77  Iris-versicolor  \n",
       "78  Iris-versicolor  \n",
       "79  Iris-versicolor  \n",
       "80  Iris-versicolor  \n",
       "81  Iris-versicolor  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.loc[(iris_data['class'] == 'Iris-versicolor') &\n",
    "              (iris_data['sepal_length_cm'] < 1.0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "7               5.0             3.4              1.5             NaN   \n",
       "8               4.4             2.9              1.4             NaN   \n",
       "9               4.9             3.1              1.5             NaN   \n",
       "10              5.4             3.7              1.5             NaN   \n",
       "11              4.8             3.4              1.6             NaN   \n",
       "\n",
       "          class  \n",
       "7   Iris-setosa  \n",
       "8   Iris-setosa  \n",
       "9   Iris-setosa  \n",
       "10  Iris-setosa  \n",
       "11  Iris-setosa  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.loc[(iris_data['sepal_length_cm'].isnull()) |\n",
    "              (iris_data['sepal_width_cm'].isnull()) |\n",
    "              (iris_data['petal_length_cm'].isnull()) |\n",
    "              (iris_data['petal_width_cm'].isnull())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc65b518>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vPd7R0RGTJ08ecKyuri7a29uPbzIAAMpa0SH6h3R3d8eoUaMGHBs1alQUCoWizqeqyhv5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xda5e7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iris_data.loc[iris_data['class'] == 'Iris-setosa', 'petal_width_cm'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "average_petal_width = iris_data.loc[iris_data['class'] == 'Iris-setosa', 'petal_width_cm'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.24999999999999997"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_petal_width"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.24999999999999997"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data[iris_data['class'] == 'Iris-setosa'].mean()[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\memedunno\\Anaconda2\\lib\\site-packages\\pandas\\core\\indexing.py:465: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self.obj[item] = s\n"
     ]
    },
    {
     "data": {
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       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "      <th>class</th>\n",
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       "  <tbody>\n",
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       "      <th>9</th>\n",
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       "      <th>10</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "7               5.0             3.4              1.5            0.25   \n",
       "8               4.4             2.9              1.4            0.25   \n",
       "9               4.9             3.1              1.5            0.25   \n",
       "10              5.4             3.7              1.5            0.25   \n",
       "11              4.8             3.4              1.6            0.25   \n",
       "\n",
       "          class  \n",
       "7   Iris-setosa  \n",
       "8   Iris-setosa  \n",
       "9   Iris-setosa  \n",
       "10  Iris-setosa  \n",
       "11  Iris-setosa  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.loc[(iris_data['class'] == 'Iris-setosa') &\n",
    "              (iris_data['petal_width_cm'].isnull()),\n",
    "              'petal_width_cm'] = average_petal_width\n",
    "\n",
    "iris_data.loc[(iris_data['class'] == 'Iris-setosa') &\n",
    "              (iris_data['petal_width_cm'] == average_petal_width)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "iris_data.to_csv('iris-data-clean.csv', index=False)\n",
    "\n",
    "iris_data_clean = pd.read_csv('iris-data-clean.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "      <td>0.20</td>\n",
       "      <td>Iris-setosa</td>\n",
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       "      <td>5.0</td>\n",
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       "      <td>1.6</td>\n",
       "      <td>0.40</td>\n",
       "      <td>Iris-setosa</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.20</td>\n",
       "      <td>Iris-setosa</td>\n",
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       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.20</td>\n",
       "      <td>Iris-setosa</td>\n",
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       "      <td>5.7</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
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       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Iris-virginica</td>\n",
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       "      <td>Iris-virginica</td>\n",
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       "      <td>6.7</td>\n",
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       "      <td>5.7</td>\n",
       "      <td>2.10</td>\n",
       "      <td>Iris-virginica</td>\n",
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       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.80</td>\n",
       "      <td>Iris-virginica</td>\n",
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       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>6.2</td>\n",
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       "      <td>4.8</td>\n",
       "      <td>1.80</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.80</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.10</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.60</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.90</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>6.4</td>\n",
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       "      <td>5.6</td>\n",
       "      <td>2.20</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.50</td>\n",
       "      <td>Iris-virginica</td>\n",
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       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.40</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.40</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.4</td>\n",
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       "      <td>5.5</td>\n",
       "      <td>1.80</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.80</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.10</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.40</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.90</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.50</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.80</td>\n",
       "      <td>Iris-virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>149 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "0                5.1             3.5              1.4            0.20   \n",
       "1                4.9             3.0              1.4            0.20   \n",
       "2                4.7             3.2              1.3            0.20   \n",
       "3                4.6             3.1              1.5            0.20   \n",
       "4                5.0             3.6              1.4            0.20   \n",
       "5                5.4             3.9              1.7            0.40   \n",
       "6                4.6             3.4              1.4            0.30   \n",
       "7                5.0             3.4              1.5            0.25   \n",
       "8                4.4             2.9              1.4            0.25   \n",
       "9                4.9             3.1              1.5            0.25   \n",
       "10               5.4             3.7              1.5            0.25   \n",
       "11               4.8             3.4              1.6            0.25   \n",
       "12               4.8             3.0              1.4            0.10   \n",
       "13               5.7             3.0              1.1            0.10   \n",
       "14               5.8             4.0              1.2            0.20   \n",
       "15               5.7             4.4              1.5            0.40   \n",
       "16               5.4             3.9              1.3            0.40   \n",
       "17               5.1             3.5              1.4            0.30   \n",
       "18               5.7             3.8              1.7            0.30   \n",
       "19               5.1             3.8              1.5            0.30   \n",
       "20               5.4             3.4              1.7            0.20   \n",
       "21               5.1             3.7              1.5            0.40   \n",
       "22               4.6             3.6              1.0            0.20   \n",
       "23               5.1             3.3              1.7            0.50   \n",
       "24               4.8             3.4              1.9            0.20   \n",
       "25               5.0             3.0              1.6            0.20   \n",
       "26               5.0             3.4              1.6            0.40   \n",
       "27               5.2             3.5              1.5            0.20   \n",
       "28               5.2             3.4              1.4            0.20   \n",
       "29               4.7             3.2              1.6            0.20   \n",
       "..               ...             ...              ...             ...   \n",
       "119              6.9             3.2              5.7            2.30   \n",
       "120              5.6             2.8              4.9            2.00   \n",
       "121              5.6             2.8              6.7            2.00   \n",
       "122              6.3             2.7              4.9            1.80   \n",
       "123              6.7             3.3              5.7            2.10   \n",
       "124              7.2             3.2              6.0            1.80   \n",
       "125              6.2             2.8              4.8            1.80   \n",
       "126              6.1             3.0              4.9            1.80   \n",
       "127              6.4             2.8              5.6            2.10   \n",
       "128              7.2             3.0              5.8            1.60   \n",
       "129              7.4             2.8              6.1            1.90   \n",
       "130              7.9             3.8              6.4            2.00   \n",
       "131              6.4             2.8              5.6            2.20   \n",
       "132              6.3             2.8              5.1            1.50   \n",
       "133              6.1             2.6              5.6            1.40   \n",
       "134              7.7             3.0              6.1            2.30   \n",
       "135              6.3             3.4              5.6            2.40   \n",
       "136              6.4             3.1              5.5            1.80   \n",
       "137              6.0             3.0              4.8            1.80   \n",
       "138              6.9             3.1              5.4            2.10   \n",
       "139              6.7             3.1              5.6            2.40   \n",
       "140              6.9             3.1              5.1            2.30   \n",
       "141              5.8             2.7              5.1            1.90   \n",
       "142              6.8             3.2              5.9            2.30   \n",
       "143              6.7             3.3              5.7            2.50   \n",
       "144              6.7             3.0              5.2            2.30   \n",
       "145              6.3             2.5              5.0            2.30   \n",
       "146              6.5             3.0              5.2            2.00   \n",
       "147              6.2             3.4              5.4            2.30   \n",
       "148              5.9             3.0              5.1            1.80   \n",
       "\n",
       "              class  \n",
       "0       Iris-setosa  \n",
       "1       Iris-setosa  \n",
       "2       Iris-setosa  \n",
       "3       Iris-setosa  \n",
       "4       Iris-setosa  \n",
       "5       Iris-setosa  \n",
       "6       Iris-setosa  \n",
       "7       Iris-setosa  \n",
       "8       Iris-setosa  \n",
       "9       Iris-setosa  \n",
       "10      Iris-setosa  \n",
       "11      Iris-setosa  \n",
       "12      Iris-setosa  \n",
       "13      Iris-setosa  \n",
       "14      Iris-setosa  \n",
       "15      Iris-setosa  \n",
       "16      Iris-setosa  \n",
       "17      Iris-setosa  \n",
       "18      Iris-setosa  \n",
       "19      Iris-setosa  \n",
       "20      Iris-setosa  \n",
       "21      Iris-setosa  \n",
       "22      Iris-setosa  \n",
       "23      Iris-setosa  \n",
       "24      Iris-setosa  \n",
       "25      Iris-setosa  \n",
       "26      Iris-setosa  \n",
       "27      Iris-setosa  \n",
       "28      Iris-setosa  \n",
       "29      Iris-setosa  \n",
       "..              ...  \n",
       "119  Iris-virginica  \n",
       "120  Iris-virginica  \n",
       "121  Iris-virginica  \n",
       "122  Iris-virginica  \n",
       "123  Iris-virginica  \n",
       "124  Iris-virginica  \n",
       "125  Iris-virginica  \n",
       "126  Iris-virginica  \n",
       "127  Iris-virginica  \n",
       "128  Iris-virginica  \n",
       "129  Iris-virginica  \n",
       "130  Iris-virginica  \n",
       "131  Iris-virginica  \n",
       "132  Iris-virginica  \n",
       "133  Iris-virginica  \n",
       "134  Iris-virginica  \n",
       "135  Iris-virginica  \n",
       "136  Iris-virginica  \n",
       "137  Iris-virginica  \n",
       "138  Iris-virginica  \n",
       "139  Iris-virginica  \n",
       "140  Iris-virginica  \n",
       "141  Iris-virginica  \n",
       "142  Iris-virginica  \n",
       "143  Iris-virginica  \n",
       "144  Iris-virginica  \n",
       "145  Iris-virginica  \n",
       "146  Iris-virginica  \n",
       "147  Iris-virginica  \n",
       "148  Iris-virginica  \n",
       "\n",
       "[149 rows x 5 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length_cm</th>\n",
       "      <th>sepal_width_cm</th>\n",
       "      <th>petal_length_cm</th>\n",
       "      <th>petal_width_cm</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.25</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.25</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.25</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.25</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.25</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length_cm  sepal_width_cm  petal_length_cm  petal_width_cm  \\\n",
       "7               5.0             3.4              1.5            0.25   \n",
       "8               4.4             2.9              1.4            0.25   \n",
       "9               4.9             3.1              1.5            0.25   \n",
       "10              5.4             3.7              1.5            0.25   \n",
       "11              4.8             3.4              1.6            0.25   \n",
       "\n",
       "          class  \n",
       "7   Iris-setosa  \n",
       "8   Iris-setosa  \n",
       "9   Iris-setosa  \n",
       "10  Iris-setosa  \n",
       "11  Iris-setosa  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.loc[(iris_data['class'] == 'Iris-setosa') &\n",
    "              (iris_data['petal_width_cm'] == average_petal_width)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0xf3e2160>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sJ5fJcLzvJG/mTHvXUSwpWCDYVt/vwfkd/PgvAzueR2F9DXZ+PL1nErlWw6yH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\nqyrhD4ZgM2pgzdfiB0+9y9vu1bfO4Cs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VV6mjtlbW/Dw5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U/+SZfHl/Xan+oTADA0njGjvMzuTcZ0/3+PR7Z/2Gty0Fip2jIQ/iu7PKu6tjpJ0szCKT6Jma71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\nDh12SWs4cYL6snJ0HbQJTnx8PHq9XvG1WbNmMX/+fLZt28bw4cMZO3Yso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CNEIDGXO0/H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LT3+36vqrCgKDcdXb0DmFtshL2rD/p0DQpMqVArZLhmQT5KC/Rotjtg1utQYBqK1nTV3KHn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\niIiIiMiA/g9d2t5uIrHj/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf3d67b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.pairplot(iris_data_clean, hue='class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "assert len(iris_data_clean['class'].unique()) == 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1258d5c0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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de5RG5aTjGsBEw4mO0S8prFLi9frx8p7j2DFs7pb5dXZh9DoQlM6lMNJxE/AH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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1258d7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.pairplot(iris_data_clean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oy8vLRVOT+iBHihvTr2Pp40YDAOrqarU5l4gofBob23axY5c7FZMkohDzer3a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\npY1AWdllnLWYMUHbdWJ81iKU5IWE6DBnzvyBCnFQGDZsGP74xz92+X5zc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MxM7Nq1C999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yeSwOEZFzkZq6s8z9XbtSPBSJiEjVqUgS8VJWq63UvWpfzkxEpMYUFBSwf/++kjuWki989uzZ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\nIiIiIiKl/D99/7+zk7sI1QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14e6c588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))\n",
    "\n",
    "for column_index, column in enumerate(iris_data_clean.columns):\n",
    "    if column == 'class':\n",
    "        continue\n",
    "    plt.subplot(2, 2, column_index + 1)\n",
    "    sb.violinplot(x='class', y=column, data=iris_data_clean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "iris_data_clean = pd.read_csv('iris-data-clean.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_inputs = iris_data_clean[['sepal_length_cm', 'sepal_width_cm',\n",
    "                             'petal_length_cm', 'petal_width_cm']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 5.1  ,  3.5  ,  1.4  ,  0.2  ],\n",
       "       [ 4.9  ,  3.   ,  1.4  ,  0.2  ],\n",
       "       [ 4.7  ,  3.2  ,  1.3  ,  0.2  ],\n",
       "       [ 4.6  ,  3.1  ,  1.5  ,  0.2  ],\n",
       "       [ 5.   ,  3.6  ,  1.4  ,  0.2  ],\n",
       "       [ 5.4  ,  3.9  ,  1.7  ,  0.4  ],\n",
       "       [ 4.6  ,  3.4  ,  1.4  ,  0.3  ],\n",
       "       [ 5.   ,  3.4  ,  1.5  ,  0.25 ],\n",
       "       [ 4.4  ,  2.9  ,  1.4  ,  0.25 ],\n",
       "       [ 4.9  ,  3.1  ,  1.5  ,  0.25 ],\n",
       "       [ 5.4  ,  3.7  ,  1.5  ,  0.25 ],\n",
       "       [ 4.8  ,  3.4  ,  1.6  ,  0.25 ],\n",
       "       [ 4.8  ,  3.   ,  1.4  ,  0.1  ],\n",
       "       [ 5.7  ,  3.   ,  1.1  ,  0.1  ],\n",
       "       [ 5.8  ,  4.   ,  1.2  ,  0.2  ],\n",
       "       [ 5.7  ,  4.4  ,  1.5  ,  0.4  ],\n",
       "       [ 5.4  ,  3.9  ,  1.3  ,  0.4  ],\n",
       "       [ 5.1  ,  3.5  ,  1.4  ,  0.3  ],\n",
       "       [ 5.7  ,  3.8  ,  1.7  ,  0.3  ],\n",
       "       [ 5.1  ,  3.8  ,  1.5  ,  0.3  ],\n",
       "       [ 5.4  ,  3.4  ,  1.7  ,  0.2  ],\n",
       "       [ 5.1  ,  3.7  ,  1.5  ,  0.4  ],\n",
       "       [ 4.6  ,  3.6  ,  1.   ,  0.2  ],\n",
       "       [ 5.1  ,  3.3  ,  1.7  ,  0.5  ],\n",
       "       [ 4.8  ,  3.4  ,  1.9  ,  0.2  ],\n",
       "       [ 5.   ,  3.   ,  1.6  ,  0.2  ],\n",
       "       [ 5.   ,  3.4  ,  1.6  ,  0.4  ],\n",
       "       [ 5.2  ,  3.5  ,  1.5  ,  0.2  ],\n",
       "       [ 5.2  ,  3.4  ,  1.4  ,  0.2  ],\n",
       "       [ 4.7  ,  3.2  ,  1.6  ,  0.2  ],\n",
       "       [ 4.8  ,  3.1  ,  1.6  ,  0.2  ],\n",
       "       [ 5.4  ,  3.4  ,  1.5  ,  0.4  ],\n",
       "       [ 5.2  ,  4.1  ,  1.5  ,  0.1  ],\n",
       "       [ 5.5  ,  4.2  ,  1.4  ,  0.2  ],\n",
       "       [ 4.9  ,  3.1  ,  1.5  ,  0.1  ],\n",
       "       [ 5.   ,  3.2  ,  1.2  ,  0.2  ],\n",
       "       [ 5.5  ,  3.5  ,  1.3  ,  0.2  ],\n",
       "       [ 4.9  ,  3.1  ,  1.5  ,  0.1  ],\n",
       "       [ 4.4  ,  3.   ,  1.3  ,  0.2  ],\n",
       "       [ 5.1  ,  3.4  ,  1.5  ,  0.2  ],\n",
       "       [ 5.   ,  3.5  ,  1.3  ,  0.3  ],\n",
       "       [ 4.4  ,  3.2  ,  1.3  ,  0.2  ],\n",
       "       [ 5.   ,  3.5  ,  1.6  ,  0.6  ],\n",
       "       [ 5.1  ,  3.8  ,  1.9  ,  0.4  ],\n",
       "       [ 4.8  ,  3.   ,  1.4  ,  0.3  ],\n",
       "       [ 5.1  ,  3.8  ,  1.6  ,  0.2  ],\n",
       "       [ 4.6  ,  3.2  ,  1.4  ,  0.2  ],\n",
       "       [ 5.3  ,  3.7  ,  1.5  ,  0.2  ],\n",
       "       [ 5.   ,  3.3  ,  1.4  ,  0.2  ],\n",
       "       [ 7.   ,  3.2  ,  4.7  ,  1.4  ],\n",
       "       [ 6.4  ,  3.2  ,  4.5  ,  1.5  ],\n",
       "       [ 6.9  ,  3.1  ,  4.9  ,  1.5  ],\n",
       "       [ 5.5  ,  2.3  ,  4.   ,  1.3  ],\n",
       "       [ 6.5  ,  2.8  ,  4.6  ,  1.5  ],\n",
       "       [ 5.7  ,  2.8  ,  4.5  ,  1.3  ],\n",
       "       [ 6.3  ,  3.3  ,  4.7  ,  1.6  ],\n",
       "       [ 4.9  ,  2.4  ,  3.3  ,  1.   ],\n",
       "       [ 6.6  ,  2.9  ,  4.6  ,  1.3  ],\n",
       "       [ 5.2  ,  2.7  ,  3.9  ,  1.4  ],\n",
       "       [ 5.   ,  2.   ,  3.5  ,  1.   ],\n",
       "       [ 5.9  ,  3.   ,  4.2  ,  1.5  ],\n",
       "       [ 6.   ,  2.2  ,  4.   ,  1.   ],\n",
       "       [ 6.1  ,  2.9  ,  4.7  ,  1.4  ],\n",
       "       [ 5.6  ,  2.9  ,  3.6  ,  1.3  ],\n",
       "       [ 6.7  ,  3.1  ,  4.4  ,  1.4  ],\n",
       "       [ 5.6  ,  3.   ,  4.5  ,  1.5  ],\n",
       "       [ 5.8  ,  2.7  ,  4.1  ,  1.   ],\n",
       "       [ 6.2  ,  2.2  ,  4.5  ,  1.5  ],\n",
       "       [ 5.6  ,  2.5  ,  3.9  ,  1.1  ],\n",
       "       [ 5.9  ,  3.2  ,  4.8  ,  1.8  ],\n",
       "       [ 6.1  ,  2.8  ,  4.   ,  1.3  ],\n",
       "       [ 6.3  ,  2.5  ,  4.9  ,  1.5  ],\n",
       "       [ 6.1  ,  2.8  ,  4.7  ,  1.2  ],\n",
       "       [ 6.4  ,  2.9  ,  4.3  ,  1.3  ],\n",
       "       [ 6.6  ,  3.   ,  4.4  ,  1.4  ],\n",
       "       [ 6.8  ,  2.8  ,  4.8  ,  1.4  ],\n",
       "       [ 0.067,  3.   ,  5.   ,  1.7  ],\n",
       "       [ 0.06 ,  2.9  ,  4.5  ,  1.5  ],\n",
       "       [ 0.057,  2.6  ,  3.5  ,  1.   ],\n",
       "       [ 0.055,  2.4  ,  3.8  ,  1.1  ],\n",
       "       [ 0.055,  2.4  ,  3.7  ,  1.   ],\n",
       "       [ 5.8  ,  2.7  ,  3.9  ,  1.2  ],\n",
       "       [ 6.   ,  2.8  ,  5.1  ,  1.6  ],\n",
       "       [ 5.4  ,  3.   ,  4.5  ,  1.5  ],\n",
       "       [ 6.   ,  3.4  ,  4.5  ,  1.6  ],\n",
       "       [ 6.7  ,  3.1  ,  4.7  ,  1.5  ],\n",
       "       [ 6.3  ,  2.3  ,  4.4  ,  1.3  ],\n",
       "       [ 5.6  ,  3.   ,  4.1  ,  1.3  ],\n",
       "       [ 5.5  ,  2.5  ,  4.   ,  1.3  ],\n",
       "       [ 5.5  ,  2.6  ,  4.4  ,  1.2  ],\n",
       "       [ 6.1  ,  3.   ,  4.6  ,  1.4  ],\n",
       "       [ 5.8  ,  2.6  ,  4.   ,  1.2  ],\n",
       "       [ 5.   ,  2.3  ,  3.3  ,  1.   ],\n",
       "       [ 5.6  ,  2.7  ,  4.2  ,  1.3  ],\n",
       "       [ 5.7  ,  3.   ,  4.2  ,  1.2  ],\n",
       "       [ 5.7  ,  2.9  ,  4.2  ,  1.3  ],\n",
       "       [ 6.2  ,  2.9  ,  4.3  ,  1.3  ],\n",
       "       [ 5.1  ,  2.5  ,  3.   ,  1.1  ],\n",
       "       [ 5.7  ,  2.8  ,  4.1  ,  1.3  ],\n",
       "       [ 6.3  ,  3.3  ,  6.   ,  2.5  ],\n",
       "       [ 5.8  ,  2.7  ,  5.1  ,  1.9  ],\n",
       "       [ 7.1  ,  3.   ,  5.9  ,  2.1  ],\n",
       "       [ 6.3  ,  2.9  ,  5.6  ,  1.8  ],\n",
       "       [ 6.5  ,  3.   ,  5.8  ,  2.2  ],\n",
       "       [ 7.6  ,  3.   ,  6.6  ,  2.1  ],\n",
       "       [ 4.9  ,  2.5  ,  4.5  ,  1.7  ],\n",
       "       [ 7.3  ,  2.9  ,  6.3  ,  1.8  ],\n",
       "       [ 6.7  ,  2.5  ,  5.8  ,  1.8  ],\n",
       "       [ 7.2  ,  3.6  ,  6.1  ,  2.5  ],\n",
       "       [ 6.5  ,  3.2  ,  5.1  ,  2.   ],\n",
       "       [ 6.4  ,  2.7  ,  5.3  ,  1.9  ],\n",
       "       [ 6.8  ,  3.   ,  5.5  ,  2.1  ],\n",
       "       [ 5.7  ,  2.5  ,  5.   ,  2.   ],\n",
       "       [ 5.8  ,  2.8  ,  5.1  ,  2.4  ],\n",
       "       [ 6.4  ,  3.2  ,  5.3  ,  2.3  ],\n",
       "       [ 6.5  ,  3.   ,  5.5  ,  1.8  ],\n",
       "       [ 7.7  ,  3.8  ,  6.7  ,  2.2  ],\n",
       "       [ 7.7  ,  2.6  ,  6.9  ,  2.3  ],\n",
       "       [ 6.   ,  2.2  ,  5.   ,  1.5  ],\n",
       "       [ 6.9  ,  3.2  ,  5.7  ,  2.3  ],\n",
       "       [ 5.6  ,  2.8  ,  4.9  ,  2.   ],\n",
       "       [ 5.6  ,  2.8  ,  6.7  ,  2.   ],\n",
       "       [ 6.3  ,  2.7  ,  4.9  ,  1.8  ],\n",
       "       [ 6.7  ,  3.3  ,  5.7  ,  2.1  ],\n",
       "       [ 7.2  ,  3.2  ,  6.   ,  1.8  ],\n",
       "       [ 6.2  ,  2.8  ,  4.8  ,  1.8  ],\n",
       "       [ 6.1  ,  3.   ,  4.9  ,  1.8  ],\n",
       "       [ 6.4  ,  2.8  ,  5.6  ,  2.1  ],\n",
       "       [ 7.2  ,  3.   ,  5.8  ,  1.6  ],\n",
       "       [ 7.4  ,  2.8  ,  6.1  ,  1.9  ],\n",
       "       [ 7.9  ,  3.8  ,  6.4  ,  2.   ],\n",
       "       [ 6.4  ,  2.8  ,  5.6  ,  2.2  ],\n",
       "       [ 6.3  ,  2.8  ,  5.1  ,  1.5  ],\n",
       "       [ 6.1  ,  2.6  ,  5.6  ,  1.4  ],\n",
       "       [ 7.7  ,  3.   ,  6.1  ,  2.3  ],\n",
       "       [ 6.3  ,  3.4  ,  5.6  ,  2.4  ],\n",
       "       [ 6.4  ,  3.1  ,  5.5  ,  1.8  ],\n",
       "       [ 6.   ,  3.   ,  4.8  ,  1.8  ],\n",
       "       [ 6.9  ,  3.1  ,  5.4  ,  2.1  ],\n",
       "       [ 6.7  ,  3.1  ,  5.6  ,  2.4  ],\n",
       "       [ 6.9  ,  3.1  ,  5.1  ,  2.3  ],\n",
       "       [ 5.8  ,  2.7  ,  5.1  ,  1.9  ],\n",
       "       [ 6.8  ,  3.2  ,  5.9  ,  2.3  ],\n",
       "       [ 6.7  ,  3.3  ,  5.7  ,  2.5  ],\n",
       "       [ 6.7  ,  3.   ,  5.2  ,  2.3  ],\n",
       "       [ 6.3  ,  2.5  ,  5.   ,  2.3  ],\n",
       "       [ 6.5  ,  3.   ,  5.2  ,  2.   ],\n",
       "       [ 6.2  ,  3.4  ,  5.4  ,  2.3  ],\n",
       "       [ 5.9  ,  3.   ,  5.1  ,  1.8  ]])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_classes = iris_data_clean['class'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-setosa', 'Iris-setosa', 'Iris-setosa',\n",
       "       'Iris-setosa', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-versicolor', 'Iris-versicolor', 'Iris-versicolor',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica', 'Iris-virginica',\n",
       "       'Iris-virginica', 'Iris-virginica'], dtype=object)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.cross_validation import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.cross_validation import train_test_split\n",
    "\n",
    "(training_inputs,\n",
    " testing_inputs,\n",
    " training_classes,\n",
    " testing_classes) = train_test_split(all_inputs, all_classes, train_size=0.75, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.97368421052631582"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "decision_tree_classifier = DecisionTreeClassifier()\n",
    "decision_tree_classifier.fit(training_inputs, training_classes)\n",
    "decision_tree_classifier.score(testing_inputs, testing_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f86cc0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AgC0QTAEAAGALBFMAAADYAsEUAAAAtkAwBQAAgC0QTAEAAGALBFMAAADYAsEUAAAAtkAw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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f77748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_accuracies = []\n",
    "\n",
    "for repetition in range(1000):\n",
    "    (training_inputs,\n",
    "     testing_inputs,\n",
    "     training_classes,\n",
    "     testing_classes) = train_test_split(all_inputs, all_classes, train_size=0.75)\n",
    "    \n",
    "    decision_tree_classifier = DecisionTreeClassifier()\n",
    "    decision_tree_classifier.fit(training_inputs, training_classes)\n",
    "    classifier_accuracy = decision_tree_classifier.score(testing_inputs, testing_classes)\n",
    "    model_accuracies.append(classifier_accuracy)\n",
    "    \n",
    "sb.distplot(model_accuracies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.cross_validation import StratifiedKFold\n",
    "def plot_cv(cv, n_samples):\n",
    "    masks = []\n",
    "    for train, test in cv:\n",
    "        mask = np.zeros(n_samples, dtype=bool)\n",
    "        mask[test] = 1\n",
    "        masks.append(mask)\n",
    "        \n",
    "    plt.figure(figsize=(15, 15))\n",
    "    plt.imshow(masks, interpolation='none')\n",
    "    plt.ylabel('Fold')\n",
    "    plt.xlabel('Row #')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x161e8438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_cv(StratifiedKFold(all_classes, n_folds=10), len(all_classes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x162d3cc0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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m7LQ4ZafFqbbBrdVb9utATbPqGj1atsUjv32Xrjl3sFxOJsYBvopgCgDolOob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\n9QAAAA9JREFUYGNKRERERE7h/wPvT45RPHfdUwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13205ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.cross_validation import cross_val_score\n",
    "decision_tree_classifier = DecisionTreeClassifier()\n",
    "\n",
    "cv_scores = cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10)\n",
    "sb.distplot(cv_scores)\n",
    "plt.title('Average score: {}'.format(np.mean(cv_scores)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14d3c9e8>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1adNGLVu21Lp160JVHwAAAIqpoIJolSpVNHnyZJUpU0aStG7dOq1d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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15dcf3c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "decision_tree_classifier = DecisionTreeClassifier(max_depth=1)\n",
    "\n",
    "cv_scores = cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10)\n",
    "sb.distplot(cv_scores, kde=False)\n",
    "plt.title('Average score: {}'.format(np.mean(cv_scores)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.959731543624\n",
      "Best parameters: {'max_features': 4, 'max_depth': 3}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.grid_search import GridSearchCV\n",
    "\n",
    "decision_tree_classifier = DecisionTreeClassifier()\n",
    "\n",
    "parameter_grid = {'max_depth': [1, 2, 3, 4, 5],\n",
    "                  'max_features': [1, 2, 3, 4]}\n",
    "\n",
    "cross_validation = StratifiedKFold(all_classes, n_folds=10)\n",
    "\n",
    "grid_search = GridSearchCV(decision_tree_classifier,\n",
    "                           param_grid=parameter_grid,\n",
    "                           cv=cross_validation)\n",
    "\n",
    "grid_search.fit(all_inputs, all_classes)\n",
    "print('Best score: {}'.format(grid_search.best_score_))\n",
    "print('Best parameters: {}'.format(grid_search.best_params_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.59731543624161076,\n",
       " 0.64429530201342278,\n",
       " 0.66442953020134232,\n",
       " 0.66442953020134232,\n",
       " 0.84563758389261745,\n",
       " 0.89261744966442957,\n",
       " 0.95302013422818788,\n",
       " 0.95302013422818788,\n",
       " 0.85906040268456374,\n",
       " 0.95302013422818788,\n",
       " 0.95302013422818788,\n",
       " 0.95973154362416102,\n",
       " 0.9261744966442953,\n",
       " 0.94630872483221473,\n",
       " 0.95302013422818788,\n",
       " 0.95302013422818788,\n",
       " 0.93288590604026844,\n",
       " 0.93288590604026844,\n",
       " 0.95302013422818788,\n",
       " 0.95973154362416102]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_visualization = []\n",
    "\n",
    "for grid_pair in grid_search.grid_scores_:\n",
    "    grid_visualization.append(grid_pair.mean_validation_score)\n",
    "\n",
    "grid_visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x14e6c748>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Lt8353m6359t+/vx5ZWVlKSkpScuXL1enTp00bNgwnT17VpJ06dKl657rP8/z3xS4Sdy9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\nACaERAAAAJgQEgEAAGDyf91cOLc//r/6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15b46b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_visualization = np.array(grid_visualization)\n",
    "grid_visualization.shape = (5, 4)\n",
    "sb.heatmap(grid_visualization, cmap='Blues')\n",
    "plt.xticks(np.arange(4) + 0.5, grid_search.param_grid['max_features'])\n",
    "plt.yticks(np.arange(5) + 0.5, grid_search.param_grid['max_depth'][::-1])\n",
    "plt.xlabel('max_features')\n",
    "plt.ylabel('max_depth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.59731543624161076,\n",
       " 0.64429530201342278,\n",
       " 0.66442953020134232,\n",
       " 0.66442953020134232,\n",
       " 0.84563758389261745,\n",
       " 0.89261744966442957,\n",
       " 0.95302013422818788,\n",
       " 0.95302013422818788,\n",
       " 0.85906040268456374,\n",
       " 0.95302013422818788,\n",
       " 0.95302013422818788,\n",
       " 0.95973154362416102,\n",
       " 0.9261744966442953,\n",
       " 0.94630872483221473,\n",
       " 0.95302013422818788,\n",
       " 0.95302013422818788,\n",
       " 0.93288590604026844,\n",
       " 0.93288590604026844,\n",
       " 0.95302013422818788,\n",
       " 0.95973154362416102]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.959731543624\n",
      "Best parameters: {'max_features': 3, 'splitter': 'best', 'criterion': 'gini', 'max_depth': 3}\n"
     ]
    }
   ],
   "source": [
    "decision_tree_classifier = DecisionTreeClassifier()\n",
    "\n",
    "parameter_grid = {'criterion': ['gini', 'entropy'],\n",
    "                  'splitter': ['best', 'random'],\n",
    "                  'max_depth': [1, 2, 3, 4, 5],\n",
    "                  'max_features': [1, 2, 3, 4]}\n",
    "\n",
    "cross_validation = StratifiedKFold(all_classes, n_folds=10)\n",
    "\n",
    "grid_search = GridSearchCV(decision_tree_classifier,\n",
    "                           param_grid=parameter_grid,\n",
    "                           cv=cross_validation)\n",
    "\n",
    "grid_search.fit(all_inputs, all_classes)\n",
    "print('Best score: {}'.format(grid_search.best_score_))\n",
    "print('Best parameters: {}'.format(grid_search.best_params_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=3,\n",
       "            max_features=3, max_leaf_nodes=None, min_samples_leaf=1,\n",
       "            min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "            presort=False, random_state=None, splitter='best')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decision_tree_classifier = grid_search.best_estimator_\n",
    "decision_tree_classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import sklearn.tree as tree\n",
    "from sklearn.externals.six import StringIO\n",
    "\n",
    "with open('iris_dtc.dot', 'w') as out_file:\n",
    "    out_file = tree.export_graphviz(decision_tree_classifier, out_file=out_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15b53a90>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkI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\nE0xs/1VAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x162add30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dt_scores = cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10)\n",
    "\n",
    "sb.boxplot(dt_scores)\n",
    "sb.stripplot(dt_scores, jitter=True, color='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.96644295302\n",
      "Best parameters: {'max_features': 2, 'n_estimators': 5, 'criterion': 'gini', 'warm_start': True}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features=2, max_leaf_nodes=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=5, n_jobs=1,\n",
       "            oob_score=False, random_state=None, verbose=0, warm_start=True)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "random_forest_classifier = RandomForestClassifier()\n",
    "\n",
    "parameter_grid = {'n_estimators': [5, 10, 25, 50],\n",
    "                  'criterion': ['gini', 'entropy'],\n",
    "                  'max_features': [1, 2, 3, 4],\n",
    "                  'warm_start': [True, False]}\n",
    "\n",
    "cross_validation = StratifiedKFold(all_classes, n_folds=10)\n",
    "\n",
    "grid_search = GridSearchCV(random_forest_classifier,\n",
    "                           param_grid=parameter_grid,\n",
    "                           cv=cross_validation)\n",
    "\n",
    "grid_search.fit(all_inputs, all_classes)\n",
    "print('Best score: {}'.format(grid_search.best_score_))\n",
    "print('Best parameters: {}'.format(grid_search.best_params_))\n",
    "\n",
    "grid_search.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x159d3438>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bmecFBQUe7Z06ddLDDz+szp07KzU1Ve+9955++OEHtWrVStLp5QonTpzQoEGDFBoaqjfe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\nMXIlSZIUOkauJEmSQsfIlSRJUui8AXnReotyrsu4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15a0c0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "random_forest_classifier = grid_search.best_estimator_\n",
    "\n",
    "rf_df = pd.DataFrame({'accuracy': cross_val_score(random_forest_classifier, all_inputs, all_classes, cv=10),\n",
    "                       'classifier': ['Random Forest'] * 10})\n",
    "dt_df = pd.DataFrame({'accuracy': cross_val_score(decision_tree_classifier, all_inputs, all_classes, cv=10),\n",
    "                      'classifier': ['Decision Tree'] * 10})\n",
    "both_df = rf_df.append(dt_df)\n",
    "\n",
    "sb.boxplot(x='classifier', y='accuracy', data=both_df)\n",
    "sb.stripplot(x='classifier', y='accuracy', data=both_df, jitter=True, color='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
